Benjamin Schiffer

According to our database1, Benjamin Schiffer authored at least 13 papers between 2019 and 2026.

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Timeline

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Bibliography

2026
Finding Common Ground in a Sea of Alternatives.
CoRR, March, 2026

2025
Metritocracy: Representative Metrics for Lite Benchmarks.
CoRR, June, 2025

Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts.
CoRR, June, 2025

Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret.
CoRR, April, 2025

Clone-Robust AI Alignment.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improved Regret Bounds for Online Fair Division with Bandit Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multi-Apartment Rent Division.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Stronger Regret Bounds for Safe Online Reinforcement Learning in the Linear Quadratic Regulator.
CoRR, 2024

Honor Among Bandits: No-Regret Learning for Online Fair Division.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
The Distortion of Binomial Voting Defies Expectation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
Approximate Trace Reconstruction: Algorithms.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Approximate Trace Reconstruction.
CoRR, 2020

2019
Finding a planted clique by adaptive probing.
CoRR, 2019


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